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      Magnetic resonance elastography resolving all gross anatomical segments of the kidney during controlled hydration

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          Abstract

          Introduction: Magnetic resonance elastography (MRE) is a non-invasive method to quantify biomechanical properties of human tissues. It has potential in diagnosis and monitoring of kidney disease, if established in clinical practice. The interplay of flow and volume changes in renal vessels, tubule, urinary collection system and interstitium is complex, but physiological ranges of in vivo viscoelastic properties during fasting and hydration have never been investigated in all gross anatomical segments simultaneously.

          Method: Ten healthy volunteers underwent two imaging sessions, one following a 12-hour fasting period and the second after a drinking challenge of >10 mL per kg body weight (60–75 min before the second examination). High-resolution renal MRE was performed using a novel driver with rotating eccentric mass placed at the posterior-lateral wall to couple waves (50 Hz) to the kidney. The biomechanical parameters, shear wave speed (c s in m/s), storage modulus (G d in kPa), loss modulus (G l in kPa), phase angle ( Υ = 2 π atan G l G d ) and attenuation (α in 1/mm) were derived. Accurate separation of gross anatomical segments was applied in post-processing (whole kidney, cortex, medulla, sinus, vessel).

          Results: High-quality shear waves coupled into all gross anatomical segments of the kidney (mean shear wave displacement: 163 ± 47 μm, mean contamination of second upper harmonics <23%, curl/divergence: 4.3 ± 0.8). Regardless of the hydration state, median G d of the cortex and medulla (0.68 ± 0.11 kPa) was significantly higher than that of the sinus and vessels (0.48 ± 0.06 kPa), and consistently, significant differences were found in c s, Υ , and G l (all p < 0.001). The viscoelastic parameters of cortex and medulla were not significantly different. After hydration sinus exhibited a small but significant reduction in median G d by −0.02 ± 0.04 kPa ( p = 0.01), and, consequently, the cortico-sinusoidal-difference in G d increased by 0.04 ± 0.07 kPa ( p = 0.05). Only upon hydration, the attenuation in vessels became lower (0.084 ± 0.013 1/mm) and differed significantly from the whole kidney (0.095 ± 0.007 1/mm, p = 0.01).

          Conclusion: High-resolution renal MRE with an innovative driver and well-defined 3D segmentation can resolve all renal segments, especially when including the sinus in the analysis. Even after a prolonged hydration period the approach is sensitive to small hydration-related changes in the sinus and in the cortico-sinusoidal-difference.

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          Stereotaxic Display of Brain Lesions

          Traditionally lesion location has been reported using standard templates, text based descriptions or representative raw slices from the patient's CT or MRI scan. Each of these methods has drawbacks for the display of neuroanatomical data. One solution is to display MRI scans in the same stereotaxic space popular with researchers working in functional neuroimaging. Presenting brains in this format is useful as the slices correspond to the standard anatomical atlases used by neuroimagers. In addition, lesion position and volume are directly comparable across patients. This article describes freely available software for presenting stereotaxically aligned patient scans. This article focuses on MRI scans, but many of these tools are also applicable to other modalities (e.g. CT, PET and SPECT). We suggest that this technique of presenting lesions in terms of images normalized to standard stereotaxic space should become the standard for neuropsychological studies.
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            Elastography: A Quantitative Method for Imaging the Elasticity of Biological Tissues

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              Magnetic resonance elastography by direct visualization of propagating acoustic strain waves

              A nuclear magnetic resonance imaging (MRI) method is presented for quantitatively mapping the physical response of a material to harmonic mechanical excitation. The resulting images allow calculation of regional mechanical properties. Measurements of shear modulus obtained with the MRI technique in gel materials correlate with independent measurements of static shear modulus. The results indicate that displacement patterns corresponding to cyclic displacements smaller than 200 nanometers can be measured. The findings suggest the feasibility of a medical imaging technique for delineating elasticity and other mechanical properties of tissue.
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                Author and article information

                Contributors
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                Journal
                Front Physiol
                Front Physiol
                Front. Physiol.
                Frontiers in Physiology
                Frontiers Media S.A.
                1664-042X
                07 February 2024
                2024
                : 15
                : 1327407
                Affiliations
                [1] 1 High Field MR Center , Center for Medical Physics and Biomedical Engineering , Medical University of Vienna , Vienna, Austria
                [2] 2 School of Biomedical Engineering and Imaging Sciences , King’s College London , London, United Kingdom
                [3] 3 MR Research Collaborations , Siemens Healthcare Limited , Frimley, United Kingdom
                [4] 4 Department of Medicine III , Division of Nephrology and Dialysis , General Hospital and Medical University of Vienna , Vienna, Austria
                [5] 5 Institut für Diagnostische und Interventionelle Radiologie , Universitätsklinikum St. Pölten , Sankt Pölten, Austria
                [6] 6 High Field MR Centre , Department of Biomedical Imaging and Image-Guided Therapy , Medical University of Vienna , Vienna, Austria
                [7] 7 Centre of Advanced Imaging , University of Queensland , Brisbane, QLD , Australia
                [8] 8 Institut National de La Santé et de La Recherche Médicale , U1148 , Laboratory for Vascular Translational Science , Paris, France
                Author notes

                Edited by: Jean-Luc Gennisson, Laboratoire d’imagerie biomédicale Multimodale Paris-Saclay (BioMaps), France

                Reviewed by: Gwenaël Pagé, Laboratoire d’imagerie biomédicale Multimodale Paris-Saclay (BioMaps), France

                Kevin Tse Ve Koon, Université Claude Bernard Lyon 1, France

                *Correspondence: Martin Meyerspeer, martin.meyerspeer@ 123456meduniwien.ac.at
                Article
                1327407
                10.3389/fphys.2024.1327407
                10880033
                38384795
                744c270f-8906-496d-8994-7b7432579c63
                Copyright © 2024 Wolf, Darwish, Neji, Eder, Sunder-Plassmann, Heinz, Robinson, Schmid, Moser, Sinkus and Meyerspeer.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 24 October 2023
                : 24 January 2024
                Funding
                Funded by: Austrian Science Fund , doi 10.13039/501100002428;
                Award ID: KLI 736-B30 P 35305 P 28867 P 31452
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Financial support via FWF project KLI 736-B30, P 35305, P 28867, and P 31452 is acknowledged. This work has been conducted during the COST Action CA16103, PARENCHIMA, renalmri.org.
                Categories
                Physiology
                Original Research
                Custom metadata
                Medical Physics and Imaging

                Anatomy & Physiology
                mre,quantitative mri,qa,kidney imaging,abdominal imaging,physiology,hydration
                Anatomy & Physiology
                mre, quantitative mri, qa, kidney imaging, abdominal imaging, physiology, hydration

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